This paper considers scheduling problems in robotic cells that produce
a set of part types on several machines served by one robot. We study
the problem of sequencing parts of different types in a cell to minim
ize the production cycle time when the sequence of the robot moves is
given. This problem is NP-hard for most of the one-unit robot move cyc
les in a robotic cell with more than two machines and producing more t
han two parr types. We first give a mathematical formulation to the pr
oblem, and then propose a branch-and-bound algorithm to solve it. The
bounding scheme of this algorithm is based on relaxing, for all of the
the machines except two, the constraints that a machine should be occ
upied by a part for a period at least as long as the processing time o
f the part. The lower bound obtained in this way is tight. This relaxa
tion allows us to overcome the complexity of the problem. The lower bo
und can be computed using the algorithm of Gilmore and Gomory. Computa
tional experiments on part sequencing problems in three-machine roboti
c cells are given.